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Hadoop Beginner's Guide

You're reading from   Hadoop Beginner's Guide Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services ‚Äì just a willingness to learn the basics from this practical step-by-step tutorial.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (19) Chapters Close

Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. What It's All About FREE CHAPTER 2. Getting Hadoop Up and Running 3. Understanding MapReduce 4. Developing MapReduce Programs 5. Advanced MapReduce Techniques 6. When Things Break 7. Keeping Things Running 8. A Relational View on Data with Hive 9. Working with Relational Databases 10. Data Collection with Flume 11. Where to Go Next Pop Quiz Answers Index

Alternative distributions


Way back in Chapter 2, Getting Up and Running, we went to the Hadoop homepage from which we downloaded the installation package. Odd as it may seem, this is far from the only way to get Hadoop. Odder still may be the fact that most production deployments don't use the Apache Hadoop distribution.

Why alternative distributions?

Hadoop is open source software. Anyone can, providing they comply with the Apache Software License that governs Hadoop, make their own release of the software. There are two main reasons alternative distributions have been created.

Bundling

Some providers seek to build a pre-bundled distribution containing not only Hadoop but also other projects, such as Hive, HBase, Pig, and many more. Though installation of most projects is rarely difficult—with the exception of HBase, which has historically been more difficult to set up by hand—there can be subtle version incompatibilities that don't arise until a particular production workload hits the system...

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